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How much do remote datastage jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote datastage in California is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $61.20 per hour, depending on experience, location, and employer.

What is a Remote Datastage job?

A Remote Datastage job involves working with IBM Datastage, an ETL (Extract, Transform, Load) tool, from a remote location. Professionals in this role design, develop, and maintain data integration solutions to support business intelligence and analytics. They collaborate with teams to extract data from various sources, transform it into meaningful formats, and load it into databases or data warehouses. Strong SQL, ETL development, and troubleshooting skills are essential for success in this position.

What are some common challenges faced by Remote Datastage professionals and how can they be managed effectively?

Remote Datastage professionals often encounter challenges such as coordinating with distributed teams, troubleshooting complex ETL issues without on-site support, and maintaining clear communication across time zones. Overcoming these challenges typically involves leveraging collaboration tools, documenting processes meticulously, and participating in regular virtual meetings to stay aligned with project goals. Staying proactive in communication and keeping up-to-date with DataStage advancements also helps in resolving technical issues efficiently. By fostering strong virtual teamwork and maintaining a disciplined work routine, remote Datastage professionals can ensure continued success and productivity in their roles.

What are the key skills and qualifications needed to thrive in the Remote Datastage position, and why are they important?

To thrive as a Remote Datastage professional, you need strong ETL development skills, experience with IBM DataStage, and a background in data integration or data warehousing, usually demonstrated by a relevant degree or equivalent experience. Familiarity with other data integration tools, SQL, and certifications such as IBM Certified Solution Developer for InfoSphere DataStage are often highly valued. Outstanding problem-solving abilities, effective communication, and self-motivation are key soft skills, especially when working independently from a remote setting. These skills ensure efficient data pipeline creation, seamless team collaboration, and reliable project delivery in a distributed work environment.

What are the most commonly searched types of Datastage jobs in California? The most popular types of Datastage jobs in California are:
What are popular job titles related to Remote Datastage jobs in California? For Remote Datastage jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Datastage jobs in California look for? The top searched job categories for Remote Datastage jobs in California are:
Remote Datastage jobs near you
Infographic showing various Remote Datastage job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $118,323 per year, or $56.9 per hour.

Sr Data Engineer with Teradata & Snowflake

Nexwave

Anaheim, CA • Remote

$65/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title : Sr Data Engineer with Teradata & Snowflake

Location : Remote ( Bay Area , CA )

Exp Req : 10-15 Yrs (Max)


Visa : USC/GC/GC EAD/H4 EAD - No H1B

Rate : $65/Hr on C2C/1099 (max)


Job Summary

We are seeking an experienced Data Engineer with strong expertise in Teradata and Snowflake to design, develop, and optimize enterprise data platforms. The ideal candidate will have experience building scalable data pipelines, data warehousing solutions, cloud-based data architectures, and ETL/ELT processes to support business intelligence and analytics initiatives.


Key Responsibilities

  • Design, develop, and maintain robust data pipelines and data integration solutions.
  • Migrate and modernize legacy Teradata data warehouse environments to Snowflake.
  • Develop and optimize ETL/ELT processes using industry-standard tools and frameworks.
  • Create and maintain Snowflake data models, schemas, tables, views, and stored procedures.
  • Write complex SQL queries for data extraction, transformation, validation, and performance tuning.
  • Implement data quality, governance, security, and compliance standards.
  • Collaborate with business stakeholders, data analysts, architects, and application teams to gather requirements and deliver solutions.
  • Monitor and troubleshoot data pipeline failures and performance issues.
  • Optimize Snowflake compute and storage utilization to improve efficiency and control costs.
  • Support reporting, analytics, and machine learning initiatives by providing reliable data solutions.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • Strong hands-on experience with Teradata Data Warehouse development.
  • Strong experience with Snowflake Data Cloud.
  • Advanced SQL development and query optimization skills.
  • Experience designing and implementing ETL/ELT processes.
  • Experience with data modeling, dimensional modeling, and data warehousing concepts.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Experience with scripting languages such as Python, Shell, or PowerShell.
  • Experience with version control tools such as Git.

Preferred Qualifications

  • Experience in Teradata-to-Snowflake migration projects.
  • Experience with orchestration tools such as Apache Airflow, Control-M, or Autosys.
  • Experience with Informatica, Talend, DataStage, Matillion, or similar ETL tools.
  • Knowledge of CI/CD and DevOps practices.
  • Snowflake certification is a plus.
  • Experience with Agile/Scrum methodologies.


Stephen

Lead Talent Acquisition Specialist

Email : stephen@nexwaveinc.com

Apply